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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine-learning assisted swallowing assessment: a deep learning-based quality improvement tool to screen for post-stroke dysphagia
|
|---|---|
| Published in |
Frontiers in Neuroscience, November 2023
|
| DOI | 10.3389/fnins.2023.1302132 |
| Pubmed ID | |
| Authors |
Rami Saab, Arjun Balachandar, Hamza Mahdi, Eptehal Nashnoush, Lucas X. Perri, Ashley L. Waldron, Alireza Sadeghian, Gordon Rubenfeld, Mark Crowley, Mark I. Boulos, Brian J. Murray, Houman Khosravani |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 10 | 59% |
| Switzerland | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Scientists | 4 | 24% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 20% |
| Unknown | 4 | 80% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2024.
All research outputs
#2,791,655
of 25,714,183 outputs
Outputs from Frontiers in Neuroscience
#1,763
of 11,685 outputs
Outputs of similar age
#42,664
of 364,965 outputs
Outputs of similar age from Frontiers in Neuroscience
#7
of 254 outputs
Altmetric has tracked 25,714,183 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,685 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,965 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 254 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.